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Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

Research article (BMJ Open, 2023) · cited 11× · AI/ML
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Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

Summary

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study is a scholarly article[1].

Key Facts

  • Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study. Retrieved May 24, 2026, from https://4ort.xyz/entity/safety-and-efficacy-of-an-artificial-intelligence-enabled-decision-tool-for-treatment-decisions-in-neovascular-age-relat
MLA “Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/safety-and-efficacy-of-an-artificial-intelligence-enabled-decision-tool-for-treatment-decisions-in-neovascular-age-relat.
BibTeX @misc{4ortxyz_safety-and-efficacy-of-an-artificial-intelligence-enabled-decision-tool-for-treatment-decisions-in-neovascular-age-relat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study}}, year = {2026}, url = {https://4ort.xyz/entity/safety-and-efficacy-of-an-artificial-intelligence-enabled-decision-tool-for-treatment-decisions-in-neovascular-age-relat}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study — https://4ort.xyz/entity/safety-and-efficacy-of-an-artificial-intelligence-enabled-decision-tool-for-treatment-decisions-in-neovascular-age-relat (retrieved 2026-05-24)

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